@inproceedings{yeh2016,
    title={{Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets}},
    author={Yeh, Michael Chin-Chia and Zhu, Yan and Ulanova, Liudmila and Nurjahan, Begum and Ding, Yifei and Dau, Hoang Anh and Silva, Diego Furtado and Mueen, Adullah and Keogh, Eamonn},
    booktitle={{International Conference on Data Mining (ICDM)}},
    pages={1317--1322},
    year={2016},
    organization={IEEE},
    doi={10.1109/ICDM.2016.0179},
    url={https://doi.org/10.1109/ICDM.2016.0179}
}

@inproceedings{zhu2016,
    title={{Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins}},
    author={Zhu, Yan and Zimmerman, Zachary and Senobari, Nader Shakibay and Yeh, Michael Chin-Chia and Funning, Gareth and Mueen, Adullah and Brisk, Philip and Keogh, Eamonn},
    booktitle={{International Conference on Data Mining (ICDM)}},
    pages={739--748},
    year={2016},
    organization={IEEE},
    doi={10.1109/ICDM.2016.0085},
    url={https://doi.org/10.1109/ICDM.2016.0085}
}

@inproceedings{yeh2017,
    title={{Matrix Profile VI: Meaningful Multidimensional Motif Discovery}},
    author={Yeh, Michael Chin-Chia and Kavantzas, Nickolas and Keogh, Eamonn},
    booktitle={{International Conference on Data Mining (ICDM)}},
    pages={565--574},
    year={2017},
    organization={IEEE},
    doi={10.1109/ICDM.2017.66},
    url={https://doi.org/10.1109/ICDM.2017.66}
}

@inproceedings{zhu2017,
    title={{Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining}},
    author={Zhu, Yan and Imamura, Makoto and Nikovski, Daniel and Keogh, Eamonn},
    booktitle={{International Conference on Data Mining (ICDM)}},
    pages={695--704},
    year={2017},
    organization={IEEE},
    doi={10.1109/ICDM.2017.79},
    url={https://doi.org/10.1109/ICDM.2017.79}
}

